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Related Experiment Videos

Understanding VAS valuations: qualitative data on the cognitive process.

Sylvie M C van Osch1, Anne M Stiggelbout

  • 1Department of Medical Decision Making, Leiden University Medical Center, RC, The Netherlands. s.m.c.van_osch@lumc.nl

Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation
|December 6, 2005
PubMed
Summary

Understanding how people value health states using visual analog scales (VAS) is key in health economics. This study reveals that intuitive approaches are common, but awareness of one's method can improve valuation reliability.

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Area of Science:

  • Health Economics
  • Psychology
  • Decision Science

Background:

  • Eliciting individual value for health states is crucial in health economics.
  • Visual Analog Scales (VAS) are commonly used for health state valuation.
  • The cognitive processes underlying VAS valuation are not fully understood.

Purpose of the Study:

  • To explore different approaches people use when valuing health states via VAS.
  • To investigate whether dual processing (automatic and controlled) occurs during VAS valuation.
  • To examine the relationship between valuation approach, awareness, and confidence.

Main Methods:

  • Two experiments involving health state valuation using VAS.
  • Post-valuation probing to identify and categorize respondent approaches.

Related Experiment Videos

  • Questionnaires assessing awareness, confidence, and basis of approach.
  • Main Results:

    • The 'Sort-of' (intuitive) approach was most frequently used, followed by 'Bisection-first'.
    • Evidence suggests dual processing occurs during VAS valuation.
    • Lower awareness of approach was associated with intuitive methods; reasoned approaches correlated with higher confidence.

    Conclusions:

    • Awareness of the valuation approach may enhance the reliability of VAS.
    • Simplifying the task by reducing concurrent health states may improve VAS validity.
    • Understanding cognitive processes in VAS valuation can inform methodological improvements.